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Imbalanced data become an obstacle in data mining nowadays, minority class sometimes are more important than majority class, just like in medical diagnosis, credit card fraud and etc. This paper focuses on the imbalanced data problem that adaboost algorithm cannot get a proper accuracy rate for minority class, and propose an improved adaboost algorithm for imbalanced data based on weighted KNN(K-Adaboost)...
In this paper, a novel sequence detection method based on codebook with channel correlation information (CCI) for the reliable feedback of CQI (channel quality information) in the uplink fast feedback channel is proposed, which utilizes the codebook based maximum likelihood detection method. Using the relatively less training frames, we can get an accurate approximation of the statistical CCI for...
By comparing performance of common kernels and wavelet kernels in classification, criterion of effective kernel for support vector classifier is concluded, thereby a tight support kernel is constructed by smoothing Shannon scaling function in Fourier domain and combining with spline function. Experiment results indicate that the proposed kernel has faster training speed and higher accuracy than Gaussian...
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